David Loshin is internationally recognized as an expert in Information Quality and the author of the books Enterprise Knowledge Management – The Data Quality Approach (Morgan Kaufmann, 2001) and Business Intelligence: The Savvy Manager’s Guide (Morgan Kaufmann, 2003). He hosts an
expert channel at the Business Intelligence Network, serves on the Editorial Board of and provides a monthly column for DM Review magazine, and is a quarterly featured columnist for the Data Administration Newsletter.
Best regards,
Jim Jarvie
Marketing and Communications
Identity Systems
Phone: 203.698.2399 • Fax: 203.698.2409
Join other Data Management and Business Professionals at an informative seminar on Data Quality, held by Identity Systems, specialists in high-quality identity search and matching software.
  Date: Tuesday, December 11th, 2007
  Time:   8.00 a.m. – 11.00 a.m.
  Venue:   Grand Hyatt Washington, 1000 H Street NW, Washington, D.C. 20001-US www.grandhyattwashington.com
   
In this seminar, you will learn:
How poor data quality impacts the achievement of business objectives
How variations and flaws contribute to inaccurate, inconsistent, and incomplete data
The challenges in addressing data quality improvement
Understanding the unique challenges of data quality will help your organization to:
Overcome the ever-increasing error and variation in the identifying information used by enterprise applications
Enhance customer, product, location, and contact information through the use of identity resolution techniques
Provide a unique identification service to manage searching and resolving names, descriptions, and addresses
Integrate identity resolution to prevent the introduction of flawed data into the environment
Applying these techniques facilitates the development of value-added services built on unique identification including master data management, data governance, customer data integration, product information management, and customer relationship services.
This seminar will be of interest if you are involved in the approval, design, development, or deployment of any enterprise information management program, especially in:
Government applications responsible for individual or organizational identity data in areas such as service to citizens, benefits entitlement, taxation, debt management, taxation compliance, company, business and shareholder registers, law enforcement, national intelligence, immigration and customs screening, healthcare, or education services
Commercial applications responsible for systems or data that involve customers, contacts or clients, customer search, customer due diligence, AML compliance, customer data integration, fraud analysis and discovery, direct marketing, or data warehousing